Data Science Experts
With RapidMiner, data science experts automate tedious parts of the data science lifecycle so they can focus on high-value work & team up with non-coders to create real business impact.
Role Overview
If you prefer to code, engage with data on a granular level, and handle the more complex elements of enterprise data science projects, read on.
Break Free From Last Century’s Tooling
Don’t compromise on the flexibility you’re used to.
No need to download your own IDE or struggle to publish your work. RapidMiner’s project-based framework will help you ensure that others can build off your work using visual workflows or automated data science.
Use Python, R, and their accompanying open-source libraries to explore your data and build advanced machine learning models. Jumpstart projects using pre-built notebook kernels for specific use-cases.
“A lot of people working on data science projects, such as data engineers or data scientists, have a strong background in writing code and are most effective when working in a code-based paradigm. To support these users, we added functionality to the RapidMiner platform that is useful for people who like using a non-linear, experimental platform to deliver value.”
Scale Your Work Across the Enterprise
Team up with fellow data scientists and domain experts alike.
Code data transformation steps and machine learning models, then package them as operators and share with the non-coders on your team. RapidMiner projects will help you ensure that others can build off your work using the Visual Workflow Designer or Augmented Data Science.
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Teamwork Drives Success
与其他关键stakeholders to tackle use cases with greater success and efficiency while creating more data-driven value for your enterprise.
Recommended Resources
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RapidMiner is the only data science platform you’ll need. Don’t just take our word for it—request a live demo to see for yourself.
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